Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

? Big data techniques and methodologies, data-driven information systems, and knowledge acquisition

? Cognitive interaction and intelligent human interfaces

? Recommender systems and E-service personalization

? Intelligent decision support systems, prediction systems and warning systems

? Computational and artificial intelligence based systems and uncertain information processes

? Swarm intelligence and evolutionary computing

? Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

《Knowledge-based Systems》是一本由ELSEVIER出版商出版的专业工程技术期刊，该刊创刊于1987年，刊期Bimonthly，该刊已被国际权威数据库SCIE、SCI收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：工程技术 2区，小类学科：计算机：人工智能 2区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖计算机：人工智能等领域，旨在及时、准确、全面地报道国内外计算机：人工智能工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为8.139，平均审稿速度约7.8个月。